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Telephone

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Improving Quality of Life and Depression After Stroke Through Telerehabilitation.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
OBJECTIVE: The aim of this study was to determine the effects of home-based robot-assisted rehabilitation coupled with a home exercise program compared with a home exercise program alone on depression and quality of life in people after stroke.

Does Robotic Telerounding Enhance Nurse-Physician Collaboration Satisfaction About Care Decisions?

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
BACKGROUND: Delivering healthcare using remote robotic telepresence is an evolving practice in medical and surgical intensive critical care units and will likely have varied implications for work practices and working relationships in intensive care ...

Estimating the spectral tilt of the glottal source from telephone speech using a deep neural network.

The Journal of the Acoustical Society of America
Estimation of the spectral tilt of the glottal source has several applications in speech analysis and modification. However, direct estimation of the tilt from telephone speech is challenging due to vocal tract resonances and distortion caused by spe...

Machine learning models predicting undertriage in telephone triage.

Annals of medicine
BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction mode...

Dyspnea Severity Assessment Based on Vocalization Behavior with Deep Learning on the Telephone.

Sensors (Basel, Switzerland)
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is proposed. The method is based on modeling the spontaneous behavior of subjects while pronouncing controlled phonetization. These vocalizations were des...

Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study.

Journal of clinical hypertension (Greenwich, Conn.)
Artificial intelligence (AI) telephone is reliable for the follow-up and management of hypertensives. It takes less time and is equivalent to manual follow-up to a high degree. We conducted a reliability study to evaluate the efficiency of AI telepho...